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Data Engineer

Job in Jacksonville, Duval County, Florida, 32258, USA
Listing for: Artech LLC
Full Time position
Listed on 2026-09-28
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 45 - 50 USD Hourly USD 45.00 50.00 HOUR
Job Description & How to Apply Below
Request
-1

Title:

Data Engineer
Locations:
Quincy, MA - 100% ONSITE
Duration: 6 months
Pay Range: $45 - $50/Hour on W2/C2C (All inclusive)


JOB DESCRIPTION:
  • Databricks, Scala
    - Data Engineer
  • Must have atleast 8+ years of extensive Data engineering experience in Databricks, ETL/ELT using data pipelines, SQL/Procesurr experience
  • Must have 8 years of hands on development proficiency in implementing Databricks solutions using scala and spark with data frames and notebooks/sql
  • Must have 8+ years of hands on development and performance tuning/ enhancement experience in scala/pyspark and sql
  • Must have strong experience with Databricks, including developing and optimizing spark jobs, data transformations, and data processing workflows
Must have experience and a good understanding on the below topics
  • Databricks delta lake storage
  • Unity catalog
  • Autoloader
  • Lakehouse architecture
  • Medallion architecture
  • Databricks serverless options
  • Dataset and data frame
  • Databricks clusters configuration and sizing
  • Databricks job orchestration
  • Spark structured streaming
  • Must have experience with complex and large volume data streaming and data transformations using Azure Databricks
  • Must have extensive experience in data warehouse / data lakehouse implementation
  • Must have experience with monitoring, debugging, and resolving issues in kive Databricks jobs
  • Must have strong hands on expertise in troubleshooting devops pipelines, azure , and AKS services
  • The candidate shd be able to provide data ingestion, streaming and transformations solutions and do development woek
  • Experience with apache big data implementation with programming proficiency like pyspark, R or Java prior to Databricks is advantageous
  • Good to have experience with containerization technologies such as docker and kubernetes
Company Benefits & Culture

• Opportunity to work with a dynamic team in a fast-paced environment

• Exposure to cutting-edge technologies and methodologies

• Supportive and collaborative work culture

For immediate consideration please click APPLY to begin the screening process with Alex.
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